

You can also have multiple models review the result, seek consensus, and then review the results of that report. I find that’s the best way to find legitimate issues, prior manual review. Huge time saver because the multitude of models can converge while you make yourself a cup of coffee, and you can find things that need to be fixed before you ask someone to spend their precious time in reviewing a pull request.
Just insight and intuition gained from twelve years of post-graduate study at Universities, including a MSc in Machine Learning.
I’m not sure “like us” is something that is quantifiable. I’m of the belief that treating we meat automatons as anything special is hubris. We’re finite state machines, acting on information input from our senses, making decisions, and outputting information in the form of activating biological apparatus. Swap physical for digital, and LLMs are indeed capable of aping all of our behavior.